Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders.
Julio Cezar Soares SilvaDavid MacêdoCleber ZanchettinAdriano L. I. OliveiraAdiel Teixeira de Almeida FilhoPublished in: IJCNN (2021)
Keyphrases
- fraud detection
- multi class
- cost sensitive
- financial institutions
- supervised learning
- multiple instance learning
- binary classification
- outlier detection
- misclassification costs
- credit card
- support vector machine
- data mining techniques
- multi class classification
- pairwise
- unsupervised learning
- cost sensitive learning
- feature selection
- machine learning
- active learning
- multiple classes
- learning tasks
- data mining
- learning algorithm
- training set
- multi class boosting
- learning problems
- binary classifiers
- denoising
- base classifiers
- semi supervised learning
- class imbalance
- class distribution
- reinforcement learning
- multi class problems
- error correcting output codes
- image classification
- intrusion detection
- training data
- similarity measure
- generalization error